Scheduler in Cloud Computing using Open Source Technologies

Size: px
Start display at page:

Download "Scheduler in Cloud Computing using Open Source Technologies"

Transcription

1 Scheduler in Cloud Computing using Open Source Technologies Darshan Upadhyay Prof. Chirag Patel Student of M.E.I.T Asst. Prof. Computer Department S. S. Engineering College, Bhavnagar L. D. College of Engineering, Ahemdabad Gujarat Technological University Gujarat Technological University Abstract Cloud Computing utilities are coming to be omnipresent, and then are beginning to serve as the essential root of computing capacity for both undertakings and private computing requisitions. Any request comes to cloud will be provided by cloud in terms of Virtual Machine. On which basis, Virtual Machine will be allocated to particular host will be decided by Scheduler. We make an effort to establish private cloud using OpenNebula an open source technology to establish cloud, and carried out tests regarding how scheduler behave with different requests. 1. Introduction The flexibility associated with fog up computing has its origin withinside the mix of virtualization technologies along together using net providers. A definition is given in [1]: Building on compute and storage virtualization, and leveraging the modern Web, Cloud Computing provides scalable, networkcentric, abstracted IT infrastructure, platforms, and applications as on-demand services that are billed by consumption. Cloud Computing is defined as a pool of virtualized computer resources. Based on this Virtualization the Cloud Computing paradigm allows workloads to be deployed and scaled-out quickly through the rapid provisioning of virtual machines or physical machines. Any request of resources will be delivered by Cloud in terms of Virtual Machine. So placement of Virtual machine is most important part in Cloud Computing. Resource Management is necessity in Cloud Computing. Because now a day s multinational company have large number of resources. And using Cloud Computing through resource Management, we can manage those resources efficiently. Through which, we can assure effective use of resources, provides scalability and elasticity. The large scalability possibilities offered by Cloud platforms can be harnessed not only for services and applications hosting but also as a raw on-demand computing resource[2]. Ultimately, Service Providers are under pressure to architect their infrastructure to enable real-time end to end visibility and dynamic resource management with fine grained control to reduce total cost of ownership while also improving agility. Again cloud computing is defined as a pooled of virtualized computer resources. So, to define effective VM placement policy[3] is necessary for dynamic resource management. 2. OpenNebula Open Source technology to build Cloud OpenNebula was first established as a research project back in 2005 by lgnacio M. Llorente and Ruben S. Montero, releasing the first version of the toolkit and continuing as an open source project in march 2008[4]. OpenNebula is one of the key technologies of reservoir plan and the flagship research project in virtualization infrastructure and cloud computing of European Union. Like nimbus, OpenNebula is also an open source cloud service framework [4]. It allows user deploy and manage virtual machines on physical resources and it can set user s data centers or clusters to flexible virtual infrastructure that can automatically adapt to the change of the service load. The main difference of OpenNebula and nimbus is that nimbus implements remote interface based on EC2 or WSRF through which user can process all security related issues, while OpenNebula does not. Using opennebula we 1093

2 can establish public cloud, private cloud and hybrid cloud. OpenNebula also allow to work with existing system or external modules. OpenNebula can also work with an open source technology Haizea resource scheduler tool. The Match-making algorithm as described in [7] allocates resources with a higher RANK expression first to allocate VMs. This RANK expression is important in applying placement policies like Packing, Striping and Load-aware policy. Packing policy minimizes the number of cluster nodes in use by using those nodes with more VMs running first. Striping policy maximizes the resources available to VMs in a node by using those nodes with less VMs running first while Load-aware policy do the same job by using those nodes with more free CPU first. Fig. 2 shows the comparison of various toolkits on the basis of Virtual Machine placement policy. Cloud toolkits Amazon EC2 Nimbus VM placement policies Proprietary Round robin and static greedy Support for hybrid cloud No Yes Fig. 1 OpenNebula Architecture By default, OpenNebula comes with match making scheduler. You can also work with external scheduler like Haizea with OpenNebula. The toolkit includes features for integration, management, scalability, security and accounting. It also emphasizes standardization, interoperability and portability, providing cloud users and administrators with a choice of several cloud interfaces (EC2 Query, OGF OCCI and vcloud) and hypervisors (Xen, KVM and VMware), and a flexible architecture that can accommodate multiple hardware and software combinations in a data center[3]. As shown in fig.1, OpenNebula architecture can be divided into three layers: 1. tools developed using interfaces provided by the OpenNebula core. 2. core which is the main part of OpenNebula architecture, consists like virtual machine(vm), virtual network(vn) and host management components. 3. drivers useful for the support to different virtualization and technologies like monitoring. 3. Scheduler in Cloud Computing On which basis Virtual Machine will be allocated to particular host will be decided by Scheduler using various policies. By default, OpenNebula Comes with match making Scheduler[4][6]. OpenNebula uses only Immediate lease provisioning to schedule IaaS cloud resources using Match-making Algorithm. Eucalyptus Static greedy and round robin OpenNebula Match Making - Initial placement based on rank policy OpenNebula and Haizea Dynamic placement to support advance reservation leases No Yes Yes Fig. 2 Comparison of various cloud toolkits one the basis of VM placement policy. 4. Experiments To build a private cloud, i have used OpenNebula 3.0 an open source technology and as an operating system. Experiment 1 Goal of this experiment is to visualize different states of VM and analyze behavior of scheduler. For this experiment, it is necessary to have one host connected with Cloud Front-end. You also need the operating system s image which you want to run in 1094

3 Virtual Machine as os. Secondly, you have to prepare Virtual machine s template file. A template file consists of a set of attributes that defines a Virtual Machine. For operating system of Virtual Machine, there are 2 ways to define it. 1) You can use image template file(same as Virtual Machine s template) which consists of a set of attributes that defines a image and then using oneimage command you can register the image in OpenNebula. From now onwards, you can use this image by image id or by image name. 2) You can use image directly in Virtual Machine s template file and set necessary attributes. In this experiment two machines were used. Their hardware details and software details are given in fig. 3. Host and Cloud Front-end are connected. IP Virtual Machine 3 IP Virtual Machine 2 IP Virtual Machine 1 Lenovo core 2 duo + 1 GB RAM IP Cloud Front-end Fig. 3 Hardware/Software setup Lenovo core 2 duo + 1 GB RAM IP Host1 C. Experiment method & Result In this experiment, we can see the different states of Virtual Machines with respect to time. At same time, procedure of VM creation will be started, but from the graph fig.5 we can show that all Virtual Machines time of Active state is different and time of running state of VM is almost same. Here scheduler will try to discover all possible hosts, but due to only one host scheduler will allocate all VM to host1. When we create VM it will follow the VM life-cycle. States/VM VM - 1 VM - 2 VM - 3 ACTIVE PROLOG BOOT RUNNING Fig. 4 Table shows time with respect to different states Fig. 5 Graph shows all VM with respect to different states & time So, we can conclude from this experiment that by default, OpenNebula s scheduler works like First Come First Served. Experiment 2 Goal of this experiment is how many VM can be placed on single host and what scheduler will do after host doesn t have enough resources to run VM. For this experiment, we have taken one host connected with Cloud Front end. We will create fifteen Virtual Machine using Cloud Front end. Procedure for creating Virtual Machine will remain same as mention in previous experiment. The hardware and software details are as shown in fig. 6. Fig. 6 Hardware/Software setup 1095

4 C. Experiment Method & Result In this experiment first we had created two Virtual Machines which will be allocated to host1 by scheduler. Each and every time scheduler will try to find whether the RANK has been defined in particular VM or not. In this experiment, we haven t defined any RANK in any VM. Then after we had created thirteen Virtual Machines from which, again two Virtual Machines will be allocated to host1. Remaining eleven Virtual Machines will be in pending states due to less resources(insufficient memory) as shown in fig. 7. Stage Pending VM queue Status Total VM Initial 0-0 executing command to create VM twice 0 VM Allocated to host 2 executing command to create VM twice executing command to create VM, eleven times deletion of first two running VM 0 VM Allocated to host 11 Host filtered out due to less resources to run VM, all eleven VM remains in pending VM queue 9 Due to deletion of two running VM, Now host have capacity to run two new VM. First, 2- VM from pending queue will be allocated to host Fig. 7 Scheduler log(auto generated) Now, we have deleted first 2-running Virtual Machines. So, again host1 have capacity to run two more Virtual Machines. So from the pending Virtual Machine queue first 2-VM will be allocated to host1. And remaining VM will be in pending queue. Fig. 8 shows the graph of host1 s CPU, host1 s MEMORY and total VM. This graph is generated by sunstone which provides the GUI to OpenNebula s cloud Fig. 8 Sunstone s graph for Host1 s CPU, Memory and Total VM So, from this experiment we can conclude that, OpenNebula s scheduler will filtered out the host if it doesn t have enough capacity to run more VM. And Virtual Machine will remain in pending Virtual Machine queue if there is no host available. Experiment 3 The goal of this experiment to analyze that how scheduler will work when there are more than one host. For this experiment, we have connected three hosts with Cloud Front end. Procedure to create VM is same as mentioned in Experiment 1. The hardware/software setup is shown in fig. 9. Fig. 9 Hardware/Software setup 1096

5 C. Experiment Method & Result In this experiment, we have created three VM. And we have three host connected with Cloud Front end. And to see how scheduler will allocate hosts to VM. Whether scheduler will allocate all VMs to one host only? Or scheduler will allocate 2 VMs to one host and 1 VM to another host and one host remains empty? Or scheduler will allocate 1 VM to each host? Thu Mar 15 13:37: [HOST][D]: Discovered Hosts (enabled): Thu Mar 15 13:37: [VM][D]: Pending virtual machines : Thu Mar 15 13:37: [RANK][W]: No rank defined for VM Thu Mar 15 13:37: [RANK][W]: No rank defined for VM Thu Mar 15 13:37: [RANK][W]: No rank defined for VM Thu Mar 15 13:37: [SCHED][I]: Select hosts PRI HID Virtual Machine: Virtual Machine: Virtual Machine: Thu Mar 15 13:37: [VM][I]: Dispatching virtual machine 104 to HID: 17 Thu Mar 15 13:37: [VM][I]: Dispatching virtual machine 105 to HID: 15 Thu Mar 15 13:37: [VM][I]: Dispatching virtual machine 106 to HID: 13 Fig. 10 Scheduler log Here, as shown in fig. 10 Scheduler had allocated one VM to each host. So we can say that scheduler distribute VM equally between hosts when there are multiple hosts are available. Experiment 4 The goal of this experiment is to implement rank policy and find out how scheduler will allocate host to VMs on basis of rank. For this experiment, we have connected three hosts with Cloud Front end. In this experiment we had created six VM. All VM created one after another, not at a time. Procedure to create VM is same as mentioned in Experiment 1. The hardware/ software setup is shown in fig. 11. C. Experiment method In this experiment, we had created VM one by one. And in all VM we had specify FREEMEMORY as RANK. Scheduler will sort all hosts according to rank and set priority of all hosts to particular VM. So, scheduler will allocate VM to those hosts first whose free memory is less. When scheduler allocated one VM to particular host, scheduler will update the data of all hosts before allocating another VM to particular VM. Fig. 11 Hardware/Software setup Fig. 12 shows the initial free memory of each three hosts. Fig. 12 three hosts and their free memory From above figure we can say that, new VM will be allocate to darshh2. Now, we had created one VM, scheduler had allocated this VM to darshh2, again scheduler will pool all information related to host and find out the host with less free memory and assign new VM to that particular host. Fig. 13 shows the states of all VM with respect to time. Fig. 14 shows the free memory of hosts with respect to time. Fig. 15 & 16 shows the graph which indicates when VM allocated to particular host, free memory of that particular host will decrease. 1097

6 State s/vm Initia l ACT IVE PRO LOG BOO T RUN NIN G Fig. 13 VM states with respect to time Minute/Host darshhost darshh1 darshh Fig. 14 host free memory(in MB) with respect to time Fig. 15 States Vs Time So, from this experiment we can conclude that scheduler will successfully work with rank policy. According to Rank policy scheduler will sort all hosts and set priorities of hosts for particular VM. 5. Conclusion & Future work From above experiments we can conclude that scheduler is the most important thing in cloud which works on various policies and on the basis of that scheduler allocate VM to particular host. In these match making scheduler there is no rank to give priority to particular VM or there is no way to give priority to particular VM. So the future direction will be to improve this match making scheduler and defined new rank through which we can give priority to VM. 6. References [1] Patrícia Takako Endo, Glauco Estácio Gonçalves, Judith Kelner, Djamel Sadok, A A Survey on Opensource Cloud Computing Solutions, VIII workshop on cloud. [2] DSA Research, The Open-Source Toolkit for building cloud infrastructure NEBULA, July [3] B. Sotomayor, R. S. Montero, I. M. Llorente, I. Foster. "Virtual Infrastructure Management in Private and Hybrid Clouds", IEEE Internet Computing, vol. 13, no. 5, pp , Sep./Oct [4] Vivek Shrivastava, D.S. Bhilare, Algorithms to Improve Resource Utilization and Request Acceptance rate in IaaS Cloud Scheduling, International Journal Advanced networking and Application, vol. 3, issue 5, pp , [5] OpenNebula Pro, OpenNebulaPro White Paper, Rev ,https://support.opennebula.pro/attachm ents/token/coiuzlpxct7oyvq/?name=opennebulapro_ White_Paper_Rev pdf. [6] OpenNebula Virtual Machine,http://opennebula. org/documentation:rel2.2:vm_guide.. [7] OpenNebula Scheduler, documentation:archives:rel2.0:schg. Fig. 16 Free Memory Vs Time 1098

Introduction to Cloud Computing

Introduction to Cloud Computing Introduction to Cloud Computing Shang Juh Kao Dept. of Computer Science and Engineering National Chung Hsing University 2011/10/27 CSE, NCHU 1 Table of Contents 1. Introduction ( 資 料 取 自 NCHC 自 由 軟 體 實

More information

OpenNebula An Innovative Open Source Toolkit for Building Cloud Solutions

OpenNebula An Innovative Open Source Toolkit for Building Cloud Solutions Cloud Computing and its Applications 20th October 2009 OpenNebula An Innovative Open Source Toolkit for Building Cloud Solutions Distributed Systems Architecture Research Group Universidad Complutense

More information

VM Management for Green Data Centres with the OpenNebula Virtual Infrastructure Engine

VM Management for Green Data Centres with the OpenNebula Virtual Infrastructure Engine OGF-EU: Using IT to reduce Carbon Emissions and Delivering the Potential of Energy Efficient Computing OGF25, Catania, Italy 5 March 2009 VM Management for Green Data Centres with the OpenNebula Virtual

More information

The OpenNebula Standard-based Open -source Toolkit to Build Cloud Infrastructures

The OpenNebula Standard-based Open -source Toolkit to Build Cloud Infrastructures Jornadas Técnicas de RedIRIS 2009 Santiago de Compostela 27th November 2009 The OpenNebula Standard-based Open -source Toolkit to Build Cloud Infrastructures Distributed Systems Architecture Research Group

More information

VIRTUAL RESOURCE MANAGEMENT FOR DATA INTENSIVE APPLICATIONS IN CLOUD INFRASTRUCTURES

VIRTUAL RESOURCE MANAGEMENT FOR DATA INTENSIVE APPLICATIONS IN CLOUD INFRASTRUCTURES U.P.B. Sci. Bull., Series C, Vol. 76, Iss. 2, 2014 ISSN 2286-3540 VIRTUAL RESOURCE MANAGEMENT FOR DATA INTENSIVE APPLICATIONS IN CLOUD INFRASTRUCTURES Elena Apostol 1, Valentin Cristea 2 Cloud computing

More information

IaaS Cloud Architectures: Virtualized Data Centers to Federated Cloud Infrastructures

IaaS Cloud Architectures: Virtualized Data Centers to Federated Cloud Infrastructures IaaS Cloud Architectures: Virtualized Data Centers to Federated Cloud Infrastructures Dr. Sanjay P. Ahuja, Ph.D. 2010-14 FIS Distinguished Professor of Computer Science School of Computing, UNF Introduction

More information

An Experimental Study of Load Balancing of OpenNebula Open-Source Cloud Computing Platform

An Experimental Study of Load Balancing of OpenNebula Open-Source Cloud Computing Platform An Experimental Study of Load Balancing of OpenNebula Open-Source Cloud Computing Platform A B M Moniruzzaman 1, Kawser Wazed Nafi 2, Prof. Syed Akhter Hossain 1 and Prof. M. M. A. Hashem 1 Department

More information

OGF25/EGEE User Forum Catania, Italy 2 March 2009

OGF25/EGEE User Forum Catania, Italy 2 March 2009 OGF25/EGEE User Forum Catania, Italy 2 March 2009 Constantino Vázquez Blanco Javier Fontán Muiños Raúl Sampedro Distributed Systems Architecture Research Group Universidad Complutense de Madrid 1/31 Outline

More information

Virtual Machine Management with OpenNebula in the RESERVOIR project

Virtual Machine Management with OpenNebula in the RESERVOIR project CISCO Cloud Computing Research Symposium (C 3 RS) November 5 & 6, 2008 San Jose, CA Virtual Machine Management with OpenNebula in the RESERVOIR project Ruben Santiago Montero Distributed Systems Architecture

More information

OpenNebula Leading Innovation in Cloud Computing Management

OpenNebula Leading Innovation in Cloud Computing Management OW2 Annual Conference 2010 Paris, November 24th, 2010 OpenNebula Leading Innovation in Cloud Computing Management Ignacio M. Llorente DSA-Research.org Distributed Systems Architecture Research Group Universidad

More information

Efficient Cloud Management for Parallel Data Processing In Private Cloud

Efficient Cloud Management for Parallel Data Processing In Private Cloud 2012 International Conference on Information and Network Technology (ICINT 2012) IPCSIT vol. 37 (2012) (2012) IACSIT Press, Singapore Efficient Cloud Management for Parallel Data Processing In Private

More information

CRI: A Novel Rating Based Leasing Policy and Algorithm for Efficient Resource Management in IaaS Clouds

CRI: A Novel Rating Based Leasing Policy and Algorithm for Efficient Resource Management in IaaS Clouds CRI: A Novel Rating Based Leasing Policy and Algorithm for Efficient Resource Management in IaaS Clouds Vivek Shrivastava #, D. S. Bhilare * # International Institute of Professional Studies, Devi Ahilya

More information

Cloud Computing from an Institutional Perspective

Cloud Computing from an Institutional Perspective 15th April 2010 e-infranet Workshop Louvain, Belgium Next Generation Data Center Summit Cloud Computing from an Institutional Perspective Distributed Systems Architecture Research Group Universidad Complutense

More information

Deployment of Private, Hybrid & Public Clouds with OpenNebula

Deployment of Private, Hybrid & Public Clouds with OpenNebula EL / LAK (FOSS) 2010 May 14th, 2010 Deployment of Private, Hybrid & Public Clouds with OpenNebula University Complutense of Madrid The Anatomy of an IaaS Cloud Deployment of Private, Hybrid & Public Clouds

More information

CLOUD COMPUTING. Virtual Machines Provisioning and Migration Services Mohamed El-Refaey

CLOUD COMPUTING. Virtual Machines Provisioning and Migration Services Mohamed El-Refaey CLOUD COMPUTING Virtual Machines Provisioning and Migration Services Mohamed El-Refaey Prepared by: Dr. Faramarz Safi Islamic Azad University, Najafabad Branch, Esfahan, Iran. VIRTUAL MACHINES PROVISIONING

More information

Keywords Distributed Computing, On Demand Resources, Cloud Computing, Virtualization, Server Consolidation, Load Balancing

Keywords Distributed Computing, On Demand Resources, Cloud Computing, Virtualization, Server Consolidation, Load Balancing Volume 5, Issue 1, January 2015 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Survey on Load

More information

Elastic Management of Cluster based Services in the Cloud

Elastic Management of Cluster based Services in the Cloud First Workshop on Automated Control for Datacenters and Clouds (ACDC09) June 19th, Barcelona, Spain Elastic Management of Cluster based Services in the Cloud Rafael Moreno Vozmediano, Ruben S. Montero,

More information

International Symposium on Grid Computing 2009 April 23th, Academia Sinica, Taipei, Taiwan

International Symposium on Grid Computing 2009 April 23th, Academia Sinica, Taipei, Taiwan International Symposium on Grid Computing 2009 April 23th, Academia Sinica, Taipei, Taiwan New resource provision paradigms for Grid Infrastructures: Virtualization and Cloud Ruben Santiago Montero Distributed

More information

Key Research Challenges in Cloud Computing

Key Research Challenges in Cloud Computing 3rd EU-Japan Symposium on Future Internet and New Generation Networks Tampere, Finland October 20th, 2010 Key Research Challenges in Cloud Computing Ignacio M. Llorente Head of DSA Research Group Universidad

More information

Int. J. Advanced Networking and Applications 1367 Volume: 03, Issue: 05, Pages: 1367-1374 (2012)

Int. J. Advanced Networking and Applications 1367 Volume: 03, Issue: 05, Pages: 1367-1374 (2012) Int. J. Advanced Networking and Applications 1367 s to Improve Resource Utilization and Request Acceptance Rate in IaaS Cloud Scheduling Vivek Shrivastava International Institute of Professional Studies,

More information

Design and Building of IaaS Clouds

Design and Building of IaaS Clouds 21th May 2010 CloudViews 2010 Porto, Portugal Next Generation Data Center Summit Design and Building of IaaS Clouds Distributed Systems Architecture Research Group Universidad Complutense de Madrid This

More information

Enabling Technologies for Cloud Computing

Enabling Technologies for Cloud Computing 3th June 2010 1 st European Summit on the Future Internet Luxembourg Next Generation Data Center Summit Enabling Technologies for Cloud Computing Distributed Systems Architecture Research Group Universidad

More information

Deploying Business Virtual Appliances on Open Source Cloud Computing

Deploying Business Virtual Appliances on Open Source Cloud Computing International Journal of Computer Science and Telecommunications [Volume 3, Issue 4, April 2012] 26 ISSN 2047-3338 Deploying Business Virtual Appliances on Open Source Cloud Computing Tran Van Lang 1 and

More information

Infrastructure as a Service (IaaS)

Infrastructure as a Service (IaaS) Infrastructure as a Service (IaaS) (ENCS 691K Chapter 4) Roch Glitho, PhD Associate Professor and Canada Research Chair My URL - http://users.encs.concordia.ca/~glitho/ References 1. R. Moreno et al.,

More information

OpenNebula Open Souce Solution for DC Virtualization. C12G Labs. Online Webinar

OpenNebula Open Souce Solution for DC Virtualization. C12G Labs. Online Webinar OpenNebula Open Souce Solution for DC Virtualization C12G Labs Online Webinar What is OpenNebula? Multi-tenancy, Elasticity and Automatic Provision on Virtualized Environments I m using virtualization/cloud,

More information

Cloud Models and Platforms

Cloud Models and Platforms Cloud Models and Platforms Dr. Sanjay P. Ahuja, Ph.D. 2010-14 FIS Distinguished Professor of Computer Science School of Computing, UNF A Working Definition of Cloud Computing Cloud computing is a model

More information

Cloud Computing Architecture with OpenNebula HPC Cloud Use Cases

Cloud Computing Architecture with OpenNebula HPC Cloud Use Cases NASA Ames NASA Advanced Supercomputing (NAS) Division California, May 24th, 2012 Cloud Computing Architecture with OpenNebula HPC Cloud Use Cases Ignacio M. Llorente Project Director OpenNebula Project.

More information

An Introduction to Private Cloud

An Introduction to Private Cloud An Introduction to Private Cloud As the word cloud computing becomes more ubiquitous these days, several questions can be raised ranging from basic question like the definitions of a cloud and cloud computing

More information

Open Source Cloud Computing Management with OpenNebula

Open Source Cloud Computing Management with OpenNebula CloudCamp Campus Party July 2011, Valencia Open Source Cloud Computing Management with OpenNebula Javier Fontán Muiños dsa-research.org Distributed Systems Architecture Research Group Universidad Complutense

More information

An Introduction to Virtualization and Cloud Technologies to Support Grid Computing

An Introduction to Virtualization and Cloud Technologies to Support Grid Computing New Paradigms: Clouds, Virtualization and Co. EGEE08, Istanbul, September 25, 2008 An Introduction to Virtualization and Cloud Technologies to Support Grid Computing Distributed Systems Architecture Research

More information

Cloud and Virtualization to Support Grid Infrastructures

Cloud and Virtualization to Support Grid Infrastructures ESAC GRID Workshop '08 ESAC, Villafranca del Castillo, Spain 11-12 December 2008 Cloud and Virtualization to Support Grid Infrastructures Distributed Systems Architecture Research Group Universidad Complutense

More information

OpenNebula Open Souce Solution for DC Virtualization

OpenNebula Open Souce Solution for DC Virtualization 13 th LSM 2012 7 th -12 th July, Geneva OpenNebula Open Souce Solution for DC Virtualization Constantino Vázquez Blanco OpenNebula.org What is OpenNebula? Multi-tenancy, Elasticity and Automatic Provision

More information

A Survey on Load Balancing and Scheduling in Cloud Computing

A Survey on Load Balancing and Scheduling in Cloud Computing IJIRST International Journal for Innovative Research in Science & Technology Volume 1 Issue 7 December 2014 ISSN (online): 2349-6010 A Survey on Load Balancing and Scheduling in Cloud Computing Niraj Patel

More information

T-110.5121 Mobile Cloud Computing Private Cloud & Assignment 2 19.10.2011

T-110.5121 Mobile Cloud Computing Private Cloud & Assignment 2 19.10.2011 T-110.5121 Mobile Cloud Computing Private Cloud & Assignment 2 19.10.2011 Yrjö Raivio, Koushik Annapureddy, Ramasivakarthik Mallavarapu Aalto University, School of Science Department of Computer Science

More information

Sistemi Operativi e Reti. Cloud Computing

Sistemi Operativi e Reti. Cloud Computing 1 Sistemi Operativi e Reti Cloud Computing Facoltà di Scienze Matematiche Fisiche e Naturali Corso di Laurea Magistrale in Informatica Osvaldo Gervasi ogervasi@computer.org 2 Introduction Technologies

More information

Building Clouds with OpenNebula 2.2 and StratusLab

Building Clouds with OpenNebula 2.2 and StratusLab Contrail Summer School June 2011, France Building Clouds with OpenNebula 2.2 and StratusLab Javier Fontán Muiños dsa-research.org Distributed Systems Architecture Research Group Universidad Complutense

More information

Cloud Computing for Control Systems CERN Openlab Summer Student Program 9/9/2011 ARSALAAN AHMED SHAIKH

Cloud Computing for Control Systems CERN Openlab Summer Student Program 9/9/2011 ARSALAAN AHMED SHAIKH Cloud Computing for Control Systems CERN Openlab Summer Student Program 9/9/2011 ARSALAAN AHMED SHAIKH CONTENTS Introduction... 4 System Components... 4 OpenNebula Cloud Management Toolkit... 4 VMware

More information

OpenNebula The Open Source Solution for Data Center Virtualization

OpenNebula The Open Source Solution for Data Center Virtualization LinuxTag April 23rd 2012, Berlin OpenNebula The Open Source Solution for Data Center Virtualization Hector Sanjuan OpenNebula.org 1 What is OpenNebula? Multi-tenancy, Elasticity and Automatic Provision

More information

OpenNebula Cloud Case Studies for Research and Industry

OpenNebula Cloud Case Studies for Research and Industry Des grilles aux Clouds Ecole Normale Supérieure de Lyon December 13th, 2010 OpenNebula Cloud Case Studies for Research and Industry Ignacio M. Llorente DSA-Research.org Distributed Systems Architecture

More information

OpenNebula Cloud Case Studies

OpenNebula Cloud Case Studies ISC Cloud 2010 Frankfurt, Germany October 29th, 2010 OpenNebula Cloud Case Studies Ignacio M. Llorente DSA-Research.org Distributed Systems Architecture Research Group Universidad Complutense de Madrid

More information

OpenNebula Open Souce Solution for DC Virtualization

OpenNebula Open Souce Solution for DC Virtualization OSDC 2012 25 th April, Nürnberg OpenNebula Open Souce Solution for DC Virtualization Constantino Vázquez Blanco OpenNebula.org What is OpenNebula? Multi-tenancy, Elasticity and Automatic Provision on Virtualized

More information

Grid Computing Vs. Cloud Computing

Grid Computing Vs. Cloud Computing International Journal of Information and Computation Technology. ISSN 0974-2239 Volume 3, Number 6 (2013), pp. 577-582 International Research Publications House http://www. irphouse.com /ijict.htm Grid

More information

Mobile Cloud Computing T-110.5121 Open Source IaaS

Mobile Cloud Computing T-110.5121 Open Source IaaS Mobile Cloud Computing T-110.5121 Open Source IaaS Tommi Mäkelä, Otaniemi Evolution Mainframe Centralized computation and storage, thin clients Dedicated hardware, software, experienced staff High capital

More information

New resource provision paradigms for Grid Infrastructures: Virtualization and Cloud

New resource provision paradigms for Grid Infrastructures: Virtualization and Cloud CISCO NerdLunch Series November 7, 2008 San Jose, CA New resource provision paradigms for Grid Infrastructures: Virtualization and Cloud Ruben Santiago Montero Distributed Systems Architecture Research

More information

Dynamic Resource Distribution Across Clouds

Dynamic Resource Distribution Across Clouds University of Victoria Faculty of Engineering Winter 2010 Work Term Report Dynamic Resource Distribution Across Clouds Department of Physics University of Victoria Victoria, BC Michael Paterson V00214440

More information

OpenNebula Cloud Innovation and Case Studies for Telecom

OpenNebula Cloud Innovation and Case Studies for Telecom Telecom Cloud Standards Information Day Hyatt Regency, Santa Clara, CA, USA 6-7 December, 2010 OpenNebula Cloud Innovation and Case Studies for Telecom Constantino Vázquez Blanco DSA-Research.org Distributed

More information

Comparison and Evaluation of Open-source Cloud Management Software

Comparison and Evaluation of Open-source Cloud Management Software Comparison and Evaluation of Open-source Cloud Management Software SRIVATSAN JAGANNATHAN Masters Degree Project Stockholm, Sweden XR-EE-LCN 2012:008 Comparison and Evaluation of Open-source Cloud Management

More information

The OpenNebula Cloud Platform for Data Center Virtualization

The OpenNebula Cloud Platform for Data Center Virtualization CloudOpen 2012 San Diego, USA, August 29th, 2012 The OpenNebula Cloud Platform for Data Center Virtualization Carlos Martín Project Engineer Acknowledgments The research leading to these results has received

More information

THE CC1 PROJECT SYSTEM FOR PRIVATE CLOUD COMPUTING

THE CC1 PROJECT SYSTEM FOR PRIVATE CLOUD COMPUTING Computer Science 13 (2) 2012 http://dx.doi.org/10.7494/csci.2012.13.2.103 J. Chwastowski R. Grzymkowski M. Kruk M. Nabożny Z. Natkaniec A. Olszewski H. Pa lka Z. Sobocińska T. Sośnicki M. Szostak P. Syktus

More information

2) Xen Hypervisor 3) UEC

2) Xen Hypervisor 3) UEC 5. Implementation Implementation of the trust model requires first preparing a test bed. It is a cloud computing environment that is required as the first step towards the implementation. Various tools

More information

Capacity Leasing in Cloud Systems using the OpenNebula Engine

Capacity Leasing in Cloud Systems using the OpenNebula Engine Capacity Leasing in Cloud Systems using the OpenNebula Engine Borja Sotomayor 1,2, Rubén Santiago Montero 1, Ignacio Martín Llorente 1, and Ian Foster 2,3 1 Facultad de Informática, Universidad Complutense

More information

Comparison of Several Cloud Computing Platforms

Comparison of Several Cloud Computing Platforms Second International Symposium on Information Science and Engineering Comparison of Several Cloud Computing Platforms Junjie Peng School of computer science & High performance computing center Shanghai

More information

FREE AND OPEN SOURCE SOFTWARE FOR CLOUD COMPUTING SERENA SPINOSO (serena.spinoso@polito.it) FULVIO VALENZA (fulvio.valenza@polito.

FREE AND OPEN SOURCE SOFTWARE FOR CLOUD COMPUTING SERENA SPINOSO (serena.spinoso@polito.it) FULVIO VALENZA (fulvio.valenza@polito. + FREE AND OPEN SOURCE SOFTWARE FOR CLOUD COMPUTING SERENA SPINOSO (serena.spinoso@polito.it) FULVIO VALENZA (fulvio.valenza@polito.it) + OUTLINE INTRODUCTION OF CLOUD DEFINITION OF CLOUD BASIC CLOUD COMPONENTS

More information

CLOUD COMPUTING. Virtual Machines Provisioning and Migration Services Mohamed El-Refaey

CLOUD COMPUTING. Virtual Machines Provisioning and Migration Services Mohamed El-Refaey CLOUD COMPUTING Virtual Machines Provisioning and Migration Services Mohamed El-Refaey Prepared by: Dr. Faramarz Safi Islamic Azad University, Najafabad Branch, Esfahan, Iran. VIRTUAL MACHINES PROVISIONING

More information

AN IMPLEMENTATION OF E- LEARNING SYSTEM IN PRIVATE CLOUD

AN IMPLEMENTATION OF E- LEARNING SYSTEM IN PRIVATE CLOUD AN IMPLEMENTATION OF E- LEARNING SYSTEM IN PRIVATE CLOUD M. Lawanya Shri 1, Dr. S. Subha 2 1 Assistant Professor,School of Information Technology and Engineering, Vellore Institute of Technology, Vellore-632014

More information

Cloud Infrastructure Pattern

Cloud Infrastructure Pattern 1 st LACCEI International Symposium on Software Architecture and Patterns (LACCEI-ISAP-MiniPLoP 2012), July 23-27, 2012, Panama City, Panama. Cloud Infrastructure Pattern Keiko Hashizume Florida Atlantic

More information

From Grid Computing to Cloud Computing & Security Issues in Cloud Computing

From Grid Computing to Cloud Computing & Security Issues in Cloud Computing From Grid Computing to Cloud Computing & Security Issues in Cloud Computing Rajendra Kumar Dwivedi Department of CSE, M.M.M. Engineering College, Gorakhpur (UP), India 273010 rajendra_bhilai@yahoo.com

More information

From Grid Computing to Cloud Computing & Security Issues in Cloud Computing

From Grid Computing to Cloud Computing & Security Issues in Cloud Computing From Grid Computing to Cloud Computing & Security Issues in Cloud Computing Rajendra Kumar Dwivedi Assistant Professor (Department of CSE), M.M.M. Engineering College, Gorakhpur (UP), India E-mail: rajendra_bhilai@yahoo.com

More information

CHAPTER 8 CLOUD COMPUTING

CHAPTER 8 CLOUD COMPUTING CHAPTER 8 CLOUD COMPUTING SE 458 SERVICE ORIENTED ARCHITECTURE Assist. Prof. Dr. Volkan TUNALI Faculty of Engineering and Natural Sciences / Maltepe University Topics 2 Cloud Computing Essential Characteristics

More information

Keywords Cloud computing, Cloud platforms, Eucalyptus, Amazon, OpenStack.

Keywords Cloud computing, Cloud platforms, Eucalyptus, Amazon, OpenStack. Volume 3, Issue 11, November 2013 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Cloud Platforms

More information

Payment minimization and Error-tolerant Resource Allocation for Cloud System Using equally spread current execution load

Payment minimization and Error-tolerant Resource Allocation for Cloud System Using equally spread current execution load Payment minimization and Error-tolerant Resource Allocation for Cloud System Using equally spread current execution load Pooja.B. Jewargi Prof. Jyoti.Patil Department of computer science and engineering,

More information

Li Sheng. lsheng1@uci.edu. Nowadays, with the booming development of network-based computing, more and more

Li Sheng. lsheng1@uci.edu. Nowadays, with the booming development of network-based computing, more and more 36326584 Li Sheng Virtual Machine Technology for Cloud Computing Li Sheng lsheng1@uci.edu Abstract: Nowadays, with the booming development of network-based computing, more and more Internet service vendors

More information

CLEVER: a CLoud-Enabled Virtual EnviRonment

CLEVER: a CLoud-Enabled Virtual EnviRonment CLEVER: a CLoud-Enabled Virtual EnviRonment Francesco Tusa Maurizio Paone Massimo Villari Antonio Puliafito {ftusa,mpaone,mvillari,apuliafito}@unime.it Università degli Studi di Messina, Dipartimento di

More information

Multilevel Communication Aware Approach for Load Balancing

Multilevel Communication Aware Approach for Load Balancing Multilevel Communication Aware Approach for Load Balancing 1 Dipti Patel, 2 Ashil Patel Department of Information Technology, L.D. College of Engineering, Gujarat Technological University, Ahmedabad 1

More information

Cloud Computing Overview

Cloud Computing Overview Cloud Computing Overview -A 60 minute overview on some essentials about Cloud systems -Target audience: Management, Architects Cloud Computing A cloud computing system stores data in a remotely accessible

More information

Introduction to OpenStack

Introduction to OpenStack Introduction to OpenStack Carlo Vallati PostDoc Reseracher Dpt. Information Engineering University of Pisa carlo.vallati@iet.unipi.it Cloud Computing - Definition Cloud Computing is a term coined to refer

More information

SURFnet Cloud Computing Solutions

SURFnet Cloud Computing Solutions Marvin Rambhadjan Arthur Schutijser SURFnet February 3, 2010 Overview Introduction Cloud Computing Introduction Cloud Computing What is Cloud Computing? Resource Pooling Resources are bundled High Level

More information

Analysis and Research of Cloud Computing System to Comparison of Several Cloud Computing Platforms

Analysis and Research of Cloud Computing System to Comparison of Several Cloud Computing Platforms Volume 1, Issue 1 ISSN: 2320-5288 International Journal of Engineering Technology & Management Research Journal homepage: www.ijetmr.org Analysis and Research of Cloud Computing System to Comparison of

More information

HP Virtualization Performance Viewer

HP Virtualization Performance Viewer HP Virtualization Performance Viewer Efficiently detect and troubleshoot performance issues in virtualized environments Jean-François Muller - Principal Technical Consultant - jeff.muller@hp.com HP Business

More information

Comparing Open Source Private Cloud (IaaS) Platforms

Comparing Open Source Private Cloud (IaaS) Platforms Comparing Open Source Private Cloud (IaaS) Platforms Lance Albertson OSU Open Source Lab Associate Director of Operations lance@osuosl.org / @ramereth About me OSU Open Source Lab Server hosting for Open

More information

An Open Source Solution for Virtual Infrastructure Management in Private and Hybrid Clouds

An Open Source Solution for Virtual Infrastructure Management in Private and Hybrid Clouds IEEE INTERNET COMPUTING, SPECIAL ISSUE ON CLOUD COMPUTING 1 An Open Source Solution for Virtual Infrastructure Management in Private and Hybrid Clouds Borja Sotomayor, Rubén S. Montero, Ignacio M. Llorente,

More information

THE EUCALYPTUS OPEN-SOURCE PRIVATE CLOUD

THE EUCALYPTUS OPEN-SOURCE PRIVATE CLOUD THE EUCALYPTUS OPEN-SOURCE PRIVATE CLOUD By Yohan Wadia ucalyptus is a Linux-based opensource software architecture that implements efficiencyenhancing private and hybrid clouds within an enterprise s

More information

Challenges in Hybrid and Federated Cloud Computing

Challenges in Hybrid and Federated Cloud Computing Cloud Day 2011 KTH-SICS Cloud Innovation Center and EIT ICT Labs Kista, Sweden, September 14th, 2011 Challenges in Hybrid and Federated Cloud Computing Ignacio M. Llorente Project Director Acknowledgments

More information

Private Clouds with Open Source

Private Clouds with Open Source Private Clouds with Open Source GridKa School 2010 KIT September 7 th 2010 Christian Baun baun@kit.edu http://www.kit.edu Cloud-Computing? Building on compute and storage virtualization, and leveraging

More information

Building Clouds with OpenNebula 3.4

Building Clouds with OpenNebula 3.4 OSDC 2012 24th April, Nürnberg Building Clouds with OpenNebula 3.4 Constantino Vázquez Blanco dsa-research.org Distributed Systems Architecture Research Group Universidad Complutense de Madrid Building

More information

3.1 IaaS Definition. IaaS: Infrastructure as a Service

3.1 IaaS Definition. IaaS: Infrastructure as a Service 1 3.1 IaaS Definition IaaS: Infrastructure as a Service Through the internet, provide IT server, storage, computing power and other infrastructure capacity to the end users and the service fee based on

More information

Manjrasoft Market Oriented Cloud Computing Platform

Manjrasoft Market Oriented Cloud Computing Platform Manjrasoft Market Oriented Cloud Computing Platform Innovative Solutions for 3D Rendering Aneka is a market oriented Cloud development and management platform with rapid application development and workload

More information

International Journal of Advance Research in Computer Science and Management Studies

International Journal of Advance Research in Computer Science and Management Studies Volume 3, Issue 6, June 2015 ISSN: 2321 7782 (Online) International Journal of Advance Research in Computer Science and Management Studies Research Article / Survey Paper / Case Study Available online

More information

An Enhanced Automated, Distributed, SLA for. Dynamic Infrastructure Management in Real. Cloud Environment Using SEQ-BP(R)M.

An Enhanced Automated, Distributed, SLA for. Dynamic Infrastructure Management in Real. Cloud Environment Using SEQ-BP(R)M. Contemporary Engineering Sciences, Vol. 8, 2015, no. 13, 557-566 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/ces.2015.5388 An Enhanced Automated, Distributed, SLA for Dynamic Infrastructure

More information

Getting Started Hacking on OpenNebula

Getting Started Hacking on OpenNebula LinuxTag 2013 Berlin, Germany, May 22nd Getting Started Hacking on OpenNebula Carlos Martín Project Engineer Acknowledgments The research leading to these results has received funding from Comunidad de

More information

VMware for your hosting services

VMware for your hosting services VMware for your hosting services Anindya Kishore Das 2009 VMware Inc. All rights reserved Everybody talks Cloud! You will eat your cloud and you will like it! Everybody talks Cloud - But what is it? VMware

More information

opening the clouds qualitative overview of the state-of-the-art open source cloud management platforms. ACM, middleware 2009 conference

opening the clouds qualitative overview of the state-of-the-art open source cloud management platforms. ACM, middleware 2009 conference opening the clouds qualitative overview of the state-of-the-art open source cloud management platforms. Orange Labs, San Francisco Jeremy Huylebroeck, Damien Cerbelaud, Shishir Garg agenda context and

More information

Using SUSE Cloud to Orchestrate Multiple Hypervisors and Storage at ADP

Using SUSE Cloud to Orchestrate Multiple Hypervisors and Storage at ADP Using SUSE Cloud to Orchestrate Multiple Hypervisors and Storage at ADP Agenda ADP Cloud Vision and Requirements Introduction to SUSE Cloud Overview Whats New VMWare intergration HyperV intergration ADP

More information

RED HAT ENTERPRISE VIRTUALIZATION FOR SERVERS: COMPETITIVE FEATURES

RED HAT ENTERPRISE VIRTUALIZATION FOR SERVERS: COMPETITIVE FEATURES RED HAT ENTERPRISE VIRTUALIZATION FOR SERVERS: COMPETITIVE FEATURES RED HAT ENTERPRISE VIRTUALIZATION FOR SERVERS Server virtualization offers tremendous benefits for enterprise IT organizations server

More information

Infrastructure as a Service

Infrastructure as a Service Infrastructure as a Service Jose Castro Leon CERN IT/OIS Cloud Computing On-Demand Self-Service Scalability and Efficiency Resource Pooling Rapid elasticity 2 Infrastructure as a Service Objectives 90%

More information

Eucalyptus LSS: Load-Based Scheduling on Virtual Servers Using Eucalyptus Private Cloud

Eucalyptus LSS: Load-Based Scheduling on Virtual Servers Using Eucalyptus Private Cloud CMSC 190 SPECIAL PROBLEM, INSTITUTE OF COMPUTER SCIENCE 1 Eucalyptus LSS: Load-Based Scheduling on Virtual Servers Using Eucalyptus Private Cloud Shenlene A. Cabigting and Prof. Joseph Anthony C. Hermocilla

More information

Towards a New Model for the Infrastructure Grid

Towards a New Model for the Infrastructure Grid INTERNATIONAL ADVANCED RESEARCH WORKSHOP ON HIGH PERFORMANCE COMPUTING AND GRIDS Cetraro (Italy), June 30 - July 4, 2008 Panel: From Grids to Cloud Services Towards a New Model for the Infrastructure Grid

More information

Cloud Implementation using OpenNebula

Cloud Implementation using OpenNebula Cloud Implementation using OpenNebula Best Practice Document Produced by the MARnet-led working group on campus networking Authors: Vasko Sazdovski (FCSE/MARnet), Boro Jakimovski (FCSE/MARnet) April 2016

More information

Comparative Study of Eucalyptus, Open Stack and Nimbus

Comparative Study of Eucalyptus, Open Stack and Nimbus Comparative Study of Eucalyptus, Open Stack and Nimbus Lakshmi D Kurup, Chandni Chandawalla, Zalak Parekh, Kunjita Sampat Abstract- Cloud computing is a Service Oriented Architecture which reduces information

More information

Manjrasoft Market Oriented Cloud Computing Platform

Manjrasoft Market Oriented Cloud Computing Platform Manjrasoft Market Oriented Cloud Computing Platform Aneka Aneka is a market oriented Cloud development and management platform with rapid application development and workload distribution capabilities.

More information

SERVER 101 COMPUTE MEMORY DISK NETWORK

SERVER 101 COMPUTE MEMORY DISK NETWORK Cloud Computing ก ก ก SERVER 101 COMPUTE MEMORY DISK NETWORK SERVER 101 1 GHz = 1,000.000.000 Cycle/Second 1 CPU CYCLE VIRTUALIZATION 101 VIRTUALIZATION 101 VIRTUALIZATION 101 HISTORY YEAR 1800 YEARS LATER

More information

Optimal Service Pricing for a Cloud Cache

Optimal Service Pricing for a Cloud Cache Optimal Service Pricing for a Cloud Cache K.SRAVANTHI Department of Computer Science & Engineering (M.Tech.) Sindura College of Engineering and Technology Ramagundam,Telangana G.LAKSHMI Asst. Professor,

More information

Comparing Ganeti to other Private Cloud Platforms. Lance Albertson Director lance@osuosl.org @ramereth

Comparing Ganeti to other Private Cloud Platforms. Lance Albertson Director lance@osuosl.org @ramereth Comparing Ganeti to other Private Cloud Platforms Lance Albertson Director lance@osuosl.org @ramereth About me OSU Open Source Lab Server hosting for Open Source Projects Open Source development projects

More information

Elastic Load Balancing in Cloud Storage

Elastic Load Balancing in Cloud Storage Elastic Load Balancing in Cloud Storage Surabhi Jain, Deepak Sharma (Lecturer, Department of Computer Science, Lovely Professional University, Phagwara-144402) (Assistant Professor, Department of Computer

More information

Auto-Scaling Model for Cloud Computing System

Auto-Scaling Model for Cloud Computing System Auto-Scaling Model for Cloud Computing System Che-Lun Hung 1*, Yu-Chen Hu 2 and Kuan-Ching Li 3 1 Dept. of Computer Science & Communication Engineering, Providence University 2 Dept. of Computer Science

More information

salsadpi: a dynamic provisioning interface for IaaS cloud

salsadpi: a dynamic provisioning interface for IaaS cloud salsadpi: a dynamic provisioning interface for IaaS cloud Tak-Lon (Stephen) Wu Computer Science, School of Informatics and Computing Indiana University, Bloomington, IN taklwu@indiana.edu Abstract On-demand

More information

Towards an Architecture for Monitoring Private Cloud

Towards an Architecture for Monitoring Private Cloud Towards an Architecture for Monitoring Private Cloud Shirlei Aparecida de Chaves, Rafael Brundo Uriarte, Carlos Becker Westphall Federal University of Santa Catarina Networks and Management Laboratory

More information

Plug-and-play Virtual Appliance Clusters Running Hadoop. Dr. Renato Figueiredo ACIS Lab - University of Florida

Plug-and-play Virtual Appliance Clusters Running Hadoop. Dr. Renato Figueiredo ACIS Lab - University of Florida Plug-and-play Virtual Appliance Clusters Running Hadoop Dr. Renato Figueiredo ACIS Lab - University of Florida Advanced Computing and Information Systems laboratory Introduction You have so far learned

More information

Reallocation and Allocation of Virtual Machines in Cloud Computing Manan D. Shah a, *, Harshad B. Prajapati b

Reallocation and Allocation of Virtual Machines in Cloud Computing Manan D. Shah a, *, Harshad B. Prajapati b Proceedings of International Conference on Emerging Research in Computing, Information, Communication and Applications (ERCICA-14) Reallocation and Allocation of Virtual Machines in Cloud Computing Manan

More information

Load Balancing using DWARR Algorithm in Cloud Computing

Load Balancing using DWARR Algorithm in Cloud Computing IJIRST International Journal for Innovative Research in Science & Technology Volume 1 Issue 12 May 2015 ISSN (online): 2349-6010 Load Balancing using DWARR Algorithm in Cloud Computing Niraj Patel PG Student

More information